Source code for tests.system.amazon.aws.example_kinesis_analytics

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from __future__ import annotations

import datetime as dt
import json
import random
from datetime import datetime

import boto3

from airflow import DAG, settings
from airflow.decorators import task, task_group
from airflow.models import Connection
from airflow.models.baseoperator import chain
from airflow.providers.amazon.aws.hooks.kinesis_analytics import KinesisAnalyticsV2Hook
from airflow.providers.amazon.aws.operators.kinesis_analytics import (
    KinesisAnalyticsV2CreateApplicationOperator,
    KinesisAnalyticsV2StartApplicationOperator,
    KinesisAnalyticsV2StopApplicationOperator,
)
from airflow.providers.amazon.aws.operators.s3 import (
    S3CreateBucketOperator,
    S3DeleteBucketOperator,
)
from airflow.providers.amazon.aws.sensors.kinesis_analytics import (
    KinesisAnalyticsV2StartApplicationCompletedSensor,
    KinesisAnalyticsV2StopApplicationCompletedSensor,
)
from airflow.providers.amazon.aws.transfers.http_to_s3 import HttpToS3Operator
from airflow.utils.trigger_rule import TriggerRule

from providers.tests.system.amazon.aws.utils import SystemTestContextBuilder

[docs]ROLE_ARN_KEY = "ROLE_ARN"
[docs]sys_test_context_task = SystemTestContextBuilder().add_variable(ROLE_ARN_KEY).build()
[docs]DAG_ID = "example_kinesis_analytics"
@task_group
[docs]def kinesis_analytics_v2_workflow(): # [START howto_operator_create_application] create_application = KinesisAnalyticsV2CreateApplicationOperator( task_id="create_application", application_name=application_name, runtime_environment="FLINK-1_18", service_execution_role=test_context[ROLE_ARN_KEY], create_application_kwargs={ "ApplicationConfiguration": { "FlinkApplicationConfiguration": { "ParallelismConfiguration": { "ConfigurationType": "CUSTOM", "Parallelism": 2, "ParallelismPerKPU": 1, "AutoScalingEnabled": False, } }, "EnvironmentProperties": { "PropertyGroups": [ { "PropertyGroupId": "BlueprintMetadata", "PropertyMap": { "AWSRegion": region_name, "BlueprintName": "KDS_FLINK-DATASTREAM-JAVA_S3", "BucketName": f"s3://{bucket_name}/", "PartitionFormat": "yyyy-MM-dd-HH", "StreamInitialPosition": "TRIM_HORIZON", "StreamName": stream_name, }, }, ] }, "ApplicationCodeConfiguration": { "CodeContent": { "S3ContentLocation": { "BucketARN": f"arn:aws:s3:::{bucket_name}", "FileKey": "code/kds-to-s3-datastream-java-1.0.1.jar", }, }, "CodeContentType": "ZIPFILE", }, } }, ) # [END howto_operator_create_application] # [START howto_operator_start_application] start_application = KinesisAnalyticsV2StartApplicationOperator( task_id="start_application", application_name=application_name, ) # [END howto_operator_start_application] start_application.wait_for_completion = False # [START howto_sensor_start_application] await_start_application = KinesisAnalyticsV2StartApplicationCompletedSensor( task_id="await_start_application", application_name=application_name, ) # [END howto_sensor_start_application] # [START howto_operator_stop_application] stop_application = KinesisAnalyticsV2StopApplicationOperator( task_id="stop_application", application_name=application_name, ) # [END howto_operator_stop_application] stop_application.wait_for_completion = False # With the default `force=False` the test fails because the data retention policy is blocking the deletion. stop_application.force = True # [START howto_sensor_stop_application] await_stop_application = KinesisAnalyticsV2StopApplicationCompletedSensor( task_id="await_stop_application", application_name=application_name, ) # [END howto_sensor_stop_application] @task(trigger_rule=TriggerRule.ALL_DONE) def delete_application(app_name: str): kinesis_analytics_v2_hook = KinesisAnalyticsV2Hook() response = kinesis_analytics_v2_hook.conn.describe_application(ApplicationName=app_name) kinesis_analytics_v2_hook.conn.delete_application( ApplicationName=app_name, CreateTimestamp=response["ApplicationDetail"]["CreateTimestamp"] ) chain( create_application, start_application, await_start_application, stop_application, await_stop_application, delete_application(application_name), )
@task_group
[docs]def copy_jar_to_s3(bucket: str): """ Copy application code to S3 using HttpToS3Operator. :param bucket: Name of the Amazon S3 bucket. """ @task def create_connection(conn_id): conn = Connection( conn_id=conn_id, conn_type="http", host="https://github.com/", ) session = settings.Session() session.add(conn) session.commit() @task(trigger_rule=TriggerRule.ALL_DONE) def delete_connection(conn_id: str): session = settings.Session() conn_to_details = session.query(Connection).filter(Connection.conn_id == conn_id).first() session.delete(conn_to_details) session.commit() copy_jar_file = HttpToS3Operator( task_id="copy_jar_file", http_conn_id=http_conn_id, endpoint="awslabs/managed-service-for-apache-flink-blueprints/releases/download/v2.0.1/kds-to-s3-datastream-java-1.0.1.jar", s3_bucket=bucket, s3_key="code/kds-to-s3-datastream-java-1.0.1.jar", ) chain(create_connection(http_conn_id), copy_jar_file, delete_connection(http_conn_id))
@task
[docs]def create_kinesis_stream(stream: str, region: str): """ Create kinesis stream and put some sample data. :param stream: Name of the kinesis stream. :param region: Region name """ client = boto3.client("kinesis", region_name=region) client.create_stream(StreamName=stream, ShardCount=1, StreamModeDetails={"StreamMode": "PROVISIONED"}) account_id = boto3.client("sts").get_caller_identity()["Account"] waiter = client.get_waiter("stream_exists") waiter.wait(StreamName=stream, WaiterConfig={"Delay": 60, "MaxAttempts": 4}) def get_data(): return { "event_time": dt.datetime.now().isoformat(), "ticker": random.choice(["AAPL", "AMZN", "MSFT", "INTC", "TBV"]), "price": round(random.random() * 100, 2), } for _ in range(2): data = get_data() client.put_record( StreamARN=f"arn:aws:kinesis:{region}:{account_id}:stream/{stream}", Data=json.dumps(data), PartitionKey=data["ticker"], )
@task(trigger_rule=TriggerRule.ALL_DONE)
[docs]def delete_kinesis_stream(stream: str, region: str): client = boto3.client("kinesis", region_name=region) client.delete_stream(StreamName=stream, EnforceConsumerDeletion=True)
with DAG( dag_id=DAG_ID, schedule="@once", start_date=datetime(2021, 1, 1), tags=["example"], catchup=False, ) as dag:
[docs] test_context = sys_test_context_task()
env_id = test_context["ENV_ID"] bucket_name = f"{env_id}-kinesis-analytics" application_name = f"{env_id}-test-app" http_conn_id = f"{env_id}-git" region_name = boto3.session.Session().region_name stream_name = f"{env_id}-test-stream" create_bucket = S3CreateBucketOperator( task_id="create_bucket", bucket_name=bucket_name, ) delete_bucket = S3DeleteBucketOperator( task_id="delete_bucket", trigger_rule=TriggerRule.ALL_DONE, bucket_name=bucket_name, force_delete=True, ) chain( # TEST SETUP test_context, create_bucket, create_kinesis_stream(stream=stream_name, region=region_name), copy_jar_to_s3(bucket=bucket_name), # TEST BODY kinesis_analytics_v2_workflow(), # TEST TEARDOWN delete_kinesis_stream(stream=stream_name, region=region_name), delete_bucket, ) from dev.tests_common.test_utils.watcher import watcher # This test needs watcher in order to properly mark success/failure # when "tearDown" task with trigger rule is part of the DAG list(dag.tasks) >> watcher() from dev.tests_common.test_utils.system_tests import get_test_run # noqa: E402 # Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
[docs]test_run = get_test_run(dag)

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